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InCA: A Mobile Conversational Agent

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PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

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Abstract

InCA is a distributed personal assistant conversational agent. The front-end runs on a handheld PDA and uses facial animation and natural speech input/output to interact with the user to provide services such as appointments, e-mail and weather reports. Existing conversational character research focuses on desktop platforms, but there are obvious differences when the platform is a mobile device, the two most obvious being the limited computational power and the restrictions on input modalities. This paper discusses the architecture and implementation of InCA, which addresses these two challenges.

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References

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Author information

Authors and Affiliations

  1. University of New South Wales, Sydney, Australia

    Mohammed Waleed Kadous & Claude Sammut

Authors
  1. Mohammed Waleed Kadous
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  2. Claude Sammut
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  2. Department of Computer Science, Auckland University of Technology, 1020, Auckland, New Zealand

    Hans W. Guesgen

  3. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

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© 2004 Springer-Verlag Berlin Heidelberg

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Kadous, M.W., Sammut, C. (2004). InCA: A Mobile Conversational Agent. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_68

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  • DOI: https://doi.org/10.1007/978-3-540-28633-2_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

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